This is a preliminary implementation of an empirical mode decomposition algorithm in C#.
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Updated
May 22, 2024 - C#
This is a preliminary implementation of an empirical mode decomposition algorithm in C#.
Clone of https://bitbucket.org/luukko/libeemd.git with decent Autotools support for building correctly on Windows, macOS, and others.
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Wire-cut CNC machine (EDM and stone). STM32 project for TrueStudio
Exemplo de aplicação do método EMD (empirical mode decomposition) apresentado na disciplina "Introdução à Ciência de Dados" pelo professor Rodrigo Mello em 2019, em São Carlos-SP
some misc tools for audio processing and etc.
This python binding for run OpenCL kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)
Study of time-frequency representations in the presence of heteroscedastic dependent noise
Image classification and unsupervised learning using latent space vectors produced by convolutional neural nets together with the original vectors space
2016년 엘스비어 논문을 통해 신호 분석에 특화된 EMD, EEMD의 효과를 ARIMA를 통해 확인한다.
Comparison of visual odometry transformation reconstruction methods for optimal path estimates and localization using feature detection, description, matching and trajectory generation
Rust Optimal Transport solvers
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